BridgeFlair LLC
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a 6-month contract, offering a competitive pay rate. Requires 5+ years in data engineering, expertise in Snowflake, Python, and dbt, and experience with AI/ML-ready data ecosystems. Remote work available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Python #AWS (Amazon Web Services) #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Data Science #GCP (Google Cloud Platform) #Snowflake #SnowSQL #Scala #Cloud #Azure #ML (Machine Learning) #Data Transformations #Data Strategy #Strategy #Data Engineering #Data Pipeline #dbt (data build tool)
Role description
Key Responsibilities:
• Design, build, and optimize data pipelines and workflows across modern data platforms.
• Leverage Snowflake, cloud-native solutions, and dbt to deliver scalable data transformations.
• Collaborate with cross-functional stakeholders, including Data Scientists and Engineers, to deliver integrated data solutions.
• Mentor junior team members and contribute to best practices in data engineering.
• Participate in architecture discussions and provide input on data strategy and platform evolution.
Must Haves:
• 5+ years of experience in data engineering, with strong expertise in data warehousing and modern data platforms (Snowflake preferred).
• Proficiency with snowSQL, Python, and dbt for building and maintaining data pipelines.
• Experience designing AI/ML-ready data ecosystems and supporting advanced analytics.
• Proven success in leading cross-functional initiatives and mentoring engineering teams.
• Strong understanding of cloud environments (AWS, Azure, or GCP).
• Excellent communication and collaboration skills.
Key Responsibilities:
• Design, build, and optimize data pipelines and workflows across modern data platforms.
• Leverage Snowflake, cloud-native solutions, and dbt to deliver scalable data transformations.
• Collaborate with cross-functional stakeholders, including Data Scientists and Engineers, to deliver integrated data solutions.
• Mentor junior team members and contribute to best practices in data engineering.
• Participate in architecture discussions and provide input on data strategy and platform evolution.
Must Haves:
• 5+ years of experience in data engineering, with strong expertise in data warehousing and modern data platforms (Snowflake preferred).
• Proficiency with snowSQL, Python, and dbt for building and maintaining data pipelines.
• Experience designing AI/ML-ready data ecosystems and supporting advanced analytics.
• Proven success in leading cross-functional initiatives and mentoring engineering teams.
• Strong understanding of cloud environments (AWS, Azure, or GCP).
• Excellent communication and collaboration skills.
